diff --git a/platipy/imaging/projects/cardiac/README.md b/platipy/imaging/projects/cardiac/README.md
index 9443fb49..650dd0a5 100644
--- a/platipy/imaging/projects/cardiac/README.md
+++ b/platipy/imaging/projects/cardiac/README.md
@@ -1,9 +1,9 @@
 # Cardiac sub-structure auto-segmentation
 
 This project consists of an algorithm to automatically segment the heart plus 17 cardiac 
-sub-structures in typical Radiotherapy CT scans. The hybrid algorithm [1] first segments the whole
-heart using a deep learning model (nnUNet [2]) followed by a multi-atlas based mapping of the
-cardiac sub-structure [3] and geometric modelling of smaller cardiac structures. The following
+sub-structures in typical Radiotherapy CT scans. The hybrid algorithm [[1]](#references) first segments the whole
+heart using a deep learning model (nnUNet [[2]](#references)) followed by a multi-atlas based mapping of the
+cardiac sub-structure [[3]](#references) and geometric modelling of smaller cardiac structures. The following
 cardiac structures are generated by the auto-segmentation algorithm. By default, structure names
 are formatted to conform to the [TG-263](https://www.aapm.org/pubs/reports/RPT_263.pdf)
 guildelines:
@@ -29,7 +29,7 @@ guildelines:
 | Sinoatrial Conduction Node       | CN_Sinoatrial       |
 | Atrioventricular Conduction Node | CN_Atrioventricular |
 
-![Example Results](../../../../assets/cardiac.png)
+![Example Results](https://raw.githubusercontent.com/pyplati/platipy/master/assets/cardiac.png)
 
 ## Quickstart